Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum

Abstract The integration of new Internet of Things (IoT) applications and services heavily relies on task offloading to external devices due to the constrained computing and battery resources of IoT devices. Up to now, Cloud Computing (CC) paradigm has been a good approach for tasks where latency is...

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Bibliographic Details

Published in:	Journal of Cloud Computing: Advances, Systems and Applications
Main Authors:	Gorka Nieto, Idoia de la Iglesia, Unai Lopez-Novoa, Cristina Perfecto
Format:	Article
Language:	English
Published:	SpringerOpen 2024-05-01
Subjects:	Task offloading Performance evaluation Energy consumption Reinforcement Learning (RL) Quality-of-Experience (QoE) Multi-access Edge Computing (MEC)
Online Access:	https://doi.org/10.1186/s13677-024-00658-0